Deep Learning in Deterministic Computational Mechanics

27 September 2023

L. Herrmann

Stefan Kollmannsberger

AI4CE

PINN

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Papers citing "Deep Learning in Deterministic Computational Mechanics"

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Title
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model Shahroz Khan K. Goucher-Lambert Konstantino Kostas P. Kaklis GAN 28 27 0 29 Apr 2023
Transfer Learning Enhanced Full Waveform Inversion Stefan Kollmannsberger Divya Singh L. Herrmann 18 5 0 22 Feb 2023
Spiking neural networks for nonlinear regression Alexander Henkes Jason Eshraghian Henning Wessels 29 26 0 06 Oct 2022
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks S. Dong Jielin Yang 26 17 0 24 Jan 2022
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 21 62 0 05 Oct 2021
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations Vahidullah Tac F. Sahli Costabal A. B. Tepole AI4CE 25 69 0 03 Oct 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods B. Yan Bailian Chen D. Harp R. Pawar AI4CE 15 89 0 15 Jul 2021
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 218 0 26 Apr 2021
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients Yuyu Zhang Heng Chi Binghong Chen T. Tang L. Mirabella Le Song G. Paulino AI4CE 16 5 0 25 Apr 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 90 271 0 20 Apr 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 489 0 09 Feb 2021
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 85 112 0 14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 107 503 0 11 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 92 167 0 05 Mar 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction Houpu Yao Yi Gao Yongming Liu AI4CE 44 66 0 31 Jan 2020
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 74 207 0 10 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 213 13,886 0 02 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 163 596 0 22 Sep 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 152 1,123 0 25 Jul 2012